成果報告書詳細
管理番号20130000000463
タイトル*平成24年度中間年報 IT融合による新社会システムの開発・実証プロジェクト (データ処理基盤分野)高信頼・低消費電力型スケーラブルM2Mデータ制御基盤の技術開発
公開日2013/10/1
報告書年度2012 - 2012
委託先名株式会社日立製作所 国立大学法人東京大学
プロジェクト番号P12009
部署名電子・材料・ナノテクノロジー部
和文要約
英文要約Title: IT Integration-based New Social System Development and Demonstration Projects / Data processing infrastructure field / Development of Highly-reliable and Energy-efficient Architecture for Realizing Scalable M2M Data Platforms (Hitachi,Ltd., the University of Tokyo)

1. Development of the low power wireless mesh network architecture for M2M data platforms

(1A) Development of upper layer protocols for reliable, efficient wireless communication
We have conducted design and initial implementation of two upper protocols. The first is a high-throughput bulk transport protocol for structural health monitoring, and the second is an end-to-end reliable collection protocol for data center monitoring, etc.

(1B) Evaluation of constructive interference at 920MHz RF frequency
Constructive interference phenomena have been tested only on IEEE 802.15.4 wireless nodes, and it is not clear whether constructive interference works well on other wireless communication scheme. We have evaluated the effectiveness of constructive interference on IEEE 802.15.4g. By using a standard software defined radio, we have clarified that constructive interference works well when carrier offset does not exist.

2. Development of the low power wireless star network architecture for M2M data platforms

We have conducted design of wireless star network architecture. Basic system architecture for low power sensor node using the DSSS wireless technology was developed. A preliminary specification of the sensor network architecture has been defined. We are going to develop an evaluation system of the sensor network architecture.



3. Development of the architecture to optimize power consumption of the data processing and the wireless communication

(3A) Study on the architecture to optimize power consumption of the data processing and the wireless communication
We have designed data processing and wireless communication protocol using piecewise linear approximation and Golomb coding. It works on limited CPU and memory resources, and our estimation shows that data size is reduced to less than 10 %, packet counts less than 10% and energy consumption less than 50 %.

(3B) Study on the algorithm to optimize power consumption of the sensor network system
We organized power consumption of the data processing and the wireless communication. We examined it about data compaction algorithm and an effect of the reduction of power consumption.
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